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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 4779
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    Explanations

    phrases indicating various possibilities or outcomes that are interconnected

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reviewed
    -0.73
    isible
    -0.70
    got
    -0.67
    hered
    -0.66
    spir
    -0.63
    onom
    -0.63
    thought
    -0.63
    uper
    -0.62
    drawn
    -0.62
    YING
    -0.61
    POSITIVE LOGITS
     reap
    1.21
     bring
    1.20
     eliminate
    1.20
     contribute
    1.20
     participate
    1.20
     distribute
    1.19
     generate
    1.19
     allow
    1.19
     provide
    1.18
     create
    1.17
    Activations Density 0.343%

    No Known Activations